Paktiya Teja‐Isavadharm
- Public Health, Environmental and Occupational Health top 2%
- Pharmacology top 1%
- Computational Theory and Mathematics top 2%
- Parasitology top 2%
- Infectious Diseases top 10%
- Co-authors
- Nicholas J. WhiteDennis E. KyleSasithon PukrittayakameeYupin SuputtamongkolH. Kyle WebsterPaul N. NewtonKrisada JongsakulGeorge Watt
- Topics
- Malaria Research and Control (32 papers)Computational Drug Discovery Methods (15 papers)Drug-Induced Hepatotoxicity and Protection (13 papers)
- Partner nations
- ThailandUnited StatesUnited Kingdom
In The Last Decade
Paktiya Teja‐Isavadharm
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Public Health, Environmental and Occupational Health 958
- Pharmacology 348
- Computational Theory and Mathematics 326
- Parasitology 290
- Infectious Diseases 204
Countries citing papers authored by Paktiya Teja‐Isavadharm
This map shows the geographic impact of Paktiya Teja‐Isavadharm's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paktiya Teja‐Isavadharm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paktiya Teja‐Isavadharm more than expected).
Fields of papers citing papers by Paktiya Teja‐Isavadharm
This network shows the impact of papers produced by Paktiya Teja‐Isavadharm. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paktiya Teja‐Isavadharm. The network helps show where Paktiya Teja‐Isavadharm may publish in the future.
Co-authorship network of co-authors of Paktiya Teja‐Isavadharm
This figure shows the co-authorship network connecting the top 25 collaborators of Paktiya Teja‐Isavadharm. A scholar is included among the top collaborators of Paktiya Teja‐Isavadharm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paktiya Teja‐Isavadharm. Paktiya Teja‐Isavadharm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 20 | |
| 6 | 3 | |
| 7 | 52 | |
| 8 | 146 | |
| 9 | 65 | |
| 10 | 35 | |
| 11 | 18 | |
| 12 | 33 | |
| 13 | 22 | |
| 14 | 51 | |
| 15 | 206 | |
| 16 | 79 | |
| 17 | 31 | |
| 18 | 21 | |
| 19 | 21 | |
| 20 | 20 |
About Paktiya Teja‐Isavadharm
Paktiya Teja‐Isavadharm is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Malaria Research and Control (32 papers), Computational Drug Discovery Methods (15 papers) and Drug-Induced Hepatotoxicity and Protection (13 papers). The work is most often cited by research in Parasitology (290 citations), Pharmacology (348 citations) and Public Health, Environmental and Occupational Health (958 citations). Paktiya Teja‐Isavadharm has collaborated with scholars based in Thailand, United States and United Kingdom. Frequent co-authors include Nicholas J. White, Dennis E. Kyle, Sasithon Pukrittayakamee, Yupin Suputtamongkol, H. Kyle Webster, Paul N. Newton, Krisada Jongsakul, George Watt, Thomas G. Brewer and Mark M. Fukuda. Their work appears in journals such as The Lancet, PLoS ONE and Clinical Infectious Diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.